Business Process Intelligence (BPI)

Fourteenth International Workshop on Business Process Intelligence (BPI’18) to be held in conjunction with BPM’18

This year's BPI Workshop is a two day event focusing particularly on process mining in the context of big data. The workshop has a long tradition at the BPM conference and will, as before, be featuring:

The workshop is sponsored by the NWO DeLiBiDa project. This project aims at developing new process mining techniques that are able to deal with huge event logs recorded for processes executed in possibly highly variable and heterogeneous contexts.

Important Dates

Deadline for abstract submissions:

18 May 2018

Deadline for workshop paper submissions:

25 May 2018

Notification of acceptance:

26 June 2017

Camera-ready version workshop papers:

13 July 2018 (Strict deadline)

Workshop Days:

9-10 September 2018

Post-proceedings deadline:

Workshop Program

The BPI 2018 workshop will be held on 9 - 10 September 2018 in Sydney, Australia. The accepted papers will be presented during the workshop and authors have ample time for their presentations and discussion.

Description

Business Process Intelligence (BPI) refers to the application of data- and process-mining techniques in the field of Business Process Management. BPI is an area that spans process mining, process discovery, conformance checking, predictive analytics and many other techniques that are all gaining interest and importance in industry and research. In practice, BPI is embodied in tools for managing process execution by offering several features such as analysis, prediction, monitoring, control, and optimization.

The two-day workshop aims at discussing the current state of ongoing research and sharing practical experiences, exchanging ideas and setting up future research directions. We aim to bring together practitioners and researchers from different communities such as business process management, information systems, business administration, software engineering, artificial intelligence, process mining, and data mining who share an interest in the analysis of business processes and process-aware information systems.

The list of topics that are relevant to the BPI workshop includes, but is not limited to:

Data-driven analysis techniques at design time and/or runtime:

Mining of business processes from event logs

Mining of non process aware systems / event streams

Multi perspective process mining

Statistical analysis in the business process management lifecycle

Predictive analytics

Recommender systems

Decision mining

Conformance / compliance analysis

Root cause analysis for process deviations

Vizualization of process mining results

Machine-learning and business processes

Measurement of business process models and business process modeling

Information retrieval related to business process management

Similarity related to processes and cases

Integration of processes and process models

Mathematical optimization of business processes

Simulation of business processes

Applications of such analysis techniques and case studies in:

Performance measurement of business processes

Business process reengineering

Business process quality

Emergent workflows

Process discovery

Conformance and risk management for business processes

Operations management and Six Sigma

Data warehousing

Static and dynamic optimization

Self-management

Monitoring of business processes

Resource allocation in business processes

Prediction

Dynamic composition of business processes

Submission Guidelines

Submitted papers will be evaluated on the basis of significance, originality and technical quality. The length of a paper must not exceed 12 pages, and there is no possibility to buy additional pages. Authors are requested to prepare submissions according to the LNCS/LNBIP format specified by Springer. The title page must contain a short abstract and a classification of the topics covered, preferably using the list of topics above. Papers should be submitted electronically through easychair. Members of an international and solid program committee will review all submissions. Each paper will be reviewed by 3 PC members guaranteeing that only papers presenting high quality and innovative research and practice issues in areas relevant to the workshop theme will be accepted.

The workshop is co-organized by the IEEE Task Force on Process Mining.
The goal of this Task Force is to promote the research, development,
education and understanding of process mining. For more information
about the activities of the IEEE Task Force on Process Mining and its
members see http://www.win.tue.nl/ieeetfpm/